What it measures
Good bots operate within accepted web norms — they identify themselves accurately, respect robots.txt, observe crawl-delay directives, and provide reciprocal value to site owners. At 14% of all web traffic they include:
- Search crawlers — Googlebot, Bingbot, Yandex; index content for search results
- SEO audit tools — Ahrefs, Semrush, Moz bots analyzing backlinks and rankings
- Uptime monitors — Pingdom, UptimeRobot, StatusCake checking availability
- Feed aggregators — RSS readers, podcast indexers, news aggregators
- AI training crawlers — GPTBot, ClaudeBot, Common Crawl (when robots.txt-compliant)
Why humans should care
Good bots are the invisible infrastructure of the open web. Without Googlebot your content doesn't exist in search results. Without uptime monitors, outages go undetected for hours. The 14% figure understates their economic importance — one Googlebot visit can drive thousands of subsequent human visits.
AI training crawlers (GPTBot, ClaudeBot, Google-Extended) are classified as good bots when they identify themselves and respect robots.txt. But many publishers block them, arguing that training use doesn't provide the referral reciprocity that search indexing does. The distinction is increasingly contested legally and economically.
What happens next
The good bot share is being squeezed: AI training crawlers blur the boundary between good and bad by consuming content without providing referral reciprocity. As more publishers block AI crawlers via robots.txt, the definition of 'good bot' will be legally and economically contested — especially as crawler compensation models begin to emerge.
Pros — Benefits
- Search crawlers drive organic discovery and SEO value for your content
- Monitoring bots improve site reliability and reduce mean time to detection
- Feed aggregators distribute content to niche audiences that don't use search
- Good bot traffic is generally indistinguishable from healthy site operation
Cons — Risks
- AI training crawlers extract value without clear referral reciprocity
- SEO bots consume bandwidth without guaranteed referral value return
- Good bot classification is self-reported and easy to fake
- Allowlist maintenance is manual and frequently out of date
What to watch for
- Google Search Central crawl budget and Googlebot documentation changes
- AI training crawler robots.txt compliance rates (academic studies)
- Publisher blocking rates of GPTBot, ClaudeBot, Google-Extended
- W3C and IETF standard proposals for verified bot identity
- Court rulings on AI crawler fair use and terms-of-service violations
What you can do
- Verify your robots.txt explicitly allows Googlebot and Bingbot
- Check Google Search Console for crawl errors and crawl budget waste
- Decide your policy on AI training crawlers and encode it explicitly in robots.txt
- Whitelist known good bot IP ranges in your WAF to prevent false-positive blocking
- Monitor crawl budget in Search Console; excessive bad bot traffic wastes it
- Set up uptime monitoring if you don't have it — 5-minute checks minimum
- Develop industry standards for AI crawler reciprocity and compensation
- Support Web Monetization proposals for crawler-based content compensation
- Fund research on sustainable web crawling economics
Data & methodology
- Source
- Imperva 2025 Bad Bot Report
- Classification
- Good bots identified by verifying claimed user-agent against known legitimate bot IP ranges
- Update cadence
- Annual — April 2025 report
- Dashboard anchor
- Live stat on dashboard